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Large-Scale Unsupervised Pre-Training For End-To-End Spoken Language Understanding
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Large-Scale Unsupervised Pre-Training For End-To-End Spoken Language Understanding
End-to-end Spoken Language Understanding (SLU) is proposed to infer the semantic meaning directly from audio features without intermediate text representation. In this paper, we explore unsupervised pre-training for End-to-end SLU models by learning repre
End-to-end Spoken Language Understanding (SLU) is proposed to infer the semantic meaning directly from audio features without intermediate text representation. In this paper, we explore unsupervised pre-training for End-to-end SLU models by learning repre
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